236 citations · 455 across the 17 of their papers we have counts for
5 papers · 1 filter
A Post-Training Framework for Improving Heterogeneous Graph Neural Networks
Cheng Yang, Xumeng Gong, Chuan Shi +1
Recent years have witnessed the success of heterogeneous graph neural networks (HGNNs) in modeling heterogeneous information networks (HINs). In this paper, we focus on the benchma…
Information Diffusion Prediction with Latent Factor Disentanglement
Haoran Wang, Cheng Yang
Information diffusion prediction is a fundamental task which forecasts how an information item will spread among users. In recent years, deep learning based methods, especially tho…
COSINE: Compressive Network Embedding on Large-scale Information Networks
Zhengyan Zhang, Cheng Yang, Zhiyuan Liu +4
There is recently a surge in approaches that learn low-dimensional embeddings of nodes in networks. As there are many large-scale real-world networks, it's inefficient for existing…
Neural Diffusion Model for Microscopic Cascade Prediction
Cheng Yang, Maosong Sun, Haoran Liu +3
The prediction of information diffusion or cascade has attracted much attention over the last decade. Most cascade prediction works target on predicting cascade-level macroscopic p…
CED: Credible Early Detection of Social Media Rumors
Changhe Song, Cunchao Tu, Cheng Yang +2
Rumors spread dramatically fast through online social media services, and people are exploring methods to detect rumors automatically. Existing methods typically learn semantic rep…